ArticleNature communications2026
Modelling anti-Ov16 seroprevalence for the control and elimination of onchocerciasis.
Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Modelling anti-Ov16 seroprevalence for the control and elimination of onchocerciasis.Nature communications · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
The World Health Organization aims to verify elimination of onchocerciasis transmission in 12 endemic countries by 2030. Serological assays detecting IgG4 antibodies against the Onchocerca volvulus Ov16 antigen guide decision-making regarding start- and stop-mass ivermectin treatment, post-treatment and post-elimination surveillance. Transmission models are crucial for understanding anti-Ov16 IgG4 seroprevalence dynamics. Uncertainty associated with the parasite stage(s) stimulating seroconversion and duration of antibody persistence has hitherto hindered progress. We use the individual-based stochastic transmission model, EPIONCHO-IBM, to test hypotheses regarding the timing of seroconversion and seroreversion. We fit the model to data from (treatment-naïve) Gabon and validate it using data from Togo (four decades of control). The best-fit hypothesis is that seroconversion is elicited by near-patent/patent infection. The duration of antibody persistence remains uncertain. Our findings support the use of mechanistic transmission models to refine serological thresholds for start- and stop-treatment, and aid interpretation of post-treatment and post-elimination surveillance serological signals.
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Registered trials
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